Tools: Arduino, Processing, opencv, Adobe (Ps, Ai, Pr, Ae), Toy making, Design research, sensors (accelerometer, mic, camera)
Instructor / Class: Liesje Hodgson / Design Expo
Collaborators: Carolyn Concepcion, Joy Li, Haylee Jung
Place: NYU ITP, Presented at Microsoft Faculty Summit - Design Expo
Award: Won Best Presentation Award at Microsoft Design Expo event
Bobo is research tool that helps in the early detection of Autism in kids. The tool is the form of a toy that is designed to track autism symptoms using sensors embedded inside the toy. Initially the toy is prescribed by the doctor to observe the child in his home environment. The toy consists of various sensors that constantly track the child for symptoms. The accelerometer tracks the child for stimming(repetitive behavior), the camera tracks eye gaze and microphone tracks voice. These particular behaviors are prevelant in kids on the Autistic spectrum and therefore the sensors are collect data related to these traits.
The toy also comes with an app that parents can use to monitor the child. The app shows the amount of time the child has spent with the toy and amount of data that has been collected.
The sensors track eyes to observe if the child is showing any symptoms of autism.
The collected data is displayed on a dashboard allowing the doctor to see day by day progress.